Dun & Bradstreet

Data Scientist (R-15991)

26 March 2024
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Deadline date:
£106000 - £180000 / year

Job Description

Why We Work at Dun & BradstreetDun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,500+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers.
As a Data Scientist, you are expected to have the following qualifications and to fulfill the needs of the role listed below;

Responsibilities

  • Convert internal and clients’ business cases into a machine learning framework.
  • Find the right technique, run full ML development cycle.
  • Clearly explain and defend results of your work to technical audiences and in laymen’s terms.  
  • Independently identify business needs, generate ideas on how to address them.
  • Efficiently balance independent work with team collaboration.
  • Be able to run several projects in parallel.
  • Be proficient in managing your time to meet deadlines.
  • Be ready to do what it takes to deliver.
  • Work jointly with cross-functional business units.
  • Stay abreast of academic research and industry best practices.
  • Share your knowledge across the team. Learn from others.

Qualifications

  • Advanced degree in physics, math, computer science or similarly quantitative field.
  • Full proficiency of ML development cycle: data gathering and transformation experimenting, training, tuning and testing productionalization, deployment and inference monitoring and retraining.
  • Experience operating successfully in data science roles, especially as a member of cross-functional teams.
  • Experience with solving broad range of analytic problems utilizing supervised/unsupervised learning, NLP, graphs, unstructured data analysis.
  • Intellectual honesty and common sense.
  • Comfort with ambiguity and pressure of fast paced environment.
  • Strong data engineering skills to independently overcome common bottlenecks and friction points.

Benefits We Offer· Generous paid time off in your first year, increasing with tenure.· Up to 16 weeks 100% paid parental leave after one year of employment.· Paid sick time to care for yourself or family members. · Education assistance and extensive training resources.· Do Good Program: Paid volunteer days & donation matching.  · Competitive 401k & Employee Stock Purchase Plan with company matching. · Health & wellness benefits, including discounted Gympass membership rates.· Medical, dental & vision insurance for you, spouse/partner & dependents.· Learn more about our benefits: http://bit.ly/41Yyc3d.

All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
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Equal Employment Opportunity (EEO): Dun & Bradstreet is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law.  View the EEO is the Law poster here. View the pay transparency policy here.
Dun & Bradstreet is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with Dun & Bradstreet and need special assistance or an accommodation to use our website or to apply for a position, please send an e-mail with your request to [email protected]. Determination on requests for reasonable accommodation are made on a case-by-case basis.